Using R in HR Analytics

Beschreibung

Understand how to use R and R Studio to analyse HR data and deliver insights that drive workforce and business performance.
Confidently analyse your organization's HR data using R and R Studio to gain insights that improve people strategy and business decision-making. Effective use of HR data has the power to transform a business. However, this is only possible if HR practitioners have the knowledge, skills and confidence to analyse the data and to draw evidence-based insights from it. This book is the practical guide that HR professionals need. Through worked examples, this book shows readers how to carry out and interpret analyses of HR data in areas such as recruitment, performance, employee engagement and diversity. People professionals are then shown how to use the results to develop robust people strategies and to support more effective evidence-based decision-making. Using R in HR Analytics provides a thorough grounding in the differences between descriptive reporting and predictive analytics as well as the methods and measures used to identify the validity of results. There is also expert guidance on the role of artificial intelligence, machine learning and large language modelling on HR analytics. Written for HR professionals at any level, there is essential coverage of data privacy and the ethical considerations of using people data. Online resources include sample datasets to allow readers to practice analysing HR data.
Provides a thorough overview of how to use R and R Studio for HR analytics
Explains how HR analytics can be used to inform the organization's people strategy
Explores the role of artificial intelligence, machine learning and large language models in HR analytics
Includes worked examples which cover diversity, performance, recruitment and employee engagement
Covers data security and the ethical considerations of using HR analytics

Autor*in

Martin Edwards
Martin R Edwards is Reader in HRM and Organizational Psychology at King's Business School, King's College London. He has taught statistics to undergraduate, postgraduate and PhD students for over 15 years and also teaches HR analytics to MSc students. As a consultant, he has delivered HR analytics workshops to FTSE-100 companies.

Themen in »Using R in HR Analytics«

People analytics HR data R software Machine learning Statistics Statistical modelling Date insights Predictive HR analytics Regression analysis People reporting

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"Using R in HR Analytics seamlessly bridges the gap between data science and human resources. Brimming with practical examples and case studies, this is an essential guide for understanding and applying statistical techniques in HR. An indispensable resource for anyone looking to enhance their HR practice through the power of analytics."
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"A core element of HR analytics is statistical analysis properly applied to data about people and HR processes. This essential book provides a uniquely valuable contribution for practitioners working in HR analytics: practical case studies that apply the correct multivariate models coupled with the code needed to run your own analyses."
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"Using R in HR Analytics is a powerful guide for anyone seeking to unlock the full potential of R software to generate impactful HR insights. Kirsten, Martin, and Daisung masterfully provide end-to-end worked examples of common HR challenges, making complex concepts both accessible and practical. A must-read for anyone aiming to elevate their HR analytics game."
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"Once again, Edwards, Edwards and Jang have enriched the burgeoning field of people analytics with Using R in HR Analytics. Having a version of their hugely successful Predictive HR Analytics book that is dedicated to R users extends the potential for a wider group of students and professionals to embrace the field. As such, Using R in HR Analytics is an important book for the future and continued growth of people analytics."
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